Hardware/Software Development Engineering - Intern

Altera•Toronto, ON

11d•Onsite

About The Position

We are seeking a talented and motivated FPGA Machine Learning Overlay Engineering Intern to join our dynamic team. Our team is dedicated to creating cutting-edge IP blocks and hardware solutions that enable customers to seamlessly integrate advanced machine learning algorithms into their designs, specifically targeting Altera FPGAs. As a key member of our team, you will focus on developing tools customers can use to profile the execution of the overlay IP to understand and debug potential performance bottlenecks. You will need to understand the FPGA AI Suite's hardware and software stack to trace how data moves through the overlay IP and the software runtime. As such, your work will help customers get the best possible performance when using the FPGA AI Suite with Altera FPGAs. This position offers an exciting opportunity to work in a collaborative environment where innovation and creativity in hardware design and software development are highly valued.

Requirements

Pursuing a Bachelor’s Degree in Computer Engineering, Electrical Engineering, Engineering Science, Computer Science, Mathematics, or similar.
3+ months of experience or coursework in one, or more, of the following: C/C++, digital logic, FPGAs, Verilog, Python, or similar.

Responsibilities

Developing tools customers can use to profile the execution of the overlay IP to understand and debug potential performance bottlenecks.
Understanding the FPGA AI Suite's hardware and software stack to trace how data moves through the overlay IP and the software runtime.